In [20]:
Out[20]:
(6321, 13)
In [9]:
In [10]:
/home/rachida/anaconda3/lib/python3.8/site-packages/seaborn/distributions.py:2551: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).
  warnings.warn(msg, FutureWarning)
/home/rachida/anaconda3/lib/python3.8/site-packages/seaborn/distributions.py:2551: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).
  warnings.warn(msg, FutureWarning)
/home/rachida/anaconda3/lib/python3.8/site-packages/seaborn/distributions.py:2551: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).
  warnings.warn(msg, FutureWarning)
/home/rachida/anaconda3/lib/python3.8/site-packages/seaborn/distributions.py:2551: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).
  warnings.warn(msg, FutureWarning)
/home/rachida/anaconda3/lib/python3.8/site-packages/seaborn/distributions.py:2551: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).
  warnings.warn(msg, FutureWarning)
/home/rachida/anaconda3/lib/python3.8/site-packages/seaborn/distributions.py:2551: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).
  warnings.warn(msg, FutureWarning)
/home/rachida/anaconda3/lib/python3.8/site-packages/seaborn/distributions.py:2551: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).
  warnings.warn(msg, FutureWarning)
/home/rachida/anaconda3/lib/python3.8/site-packages/seaborn/distributions.py:2551: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).
  warnings.warn(msg, FutureWarning)
/home/rachida/anaconda3/lib/python3.8/site-packages/seaborn/distributions.py:2551: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).
  warnings.warn(msg, FutureWarning)
/home/rachida/anaconda3/lib/python3.8/site-packages/seaborn/distributions.py:2551: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).
  warnings.warn(msg, FutureWarning)
/home/rachida/anaconda3/lib/python3.8/site-packages/seaborn/distributions.py:2551: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).
  warnings.warn(msg, FutureWarning)
/home/rachida/anaconda3/lib/python3.8/site-packages/seaborn/distributions.py:2551: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).
  warnings.warn(msg, FutureWarning)
In [11]:
---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
<ipython-input-11-37b4dd6e9701> in <module>
      1 for col in da:
----> 2     da[col].plot(kind = "hist", normed = True, color = "lightgrey")
      3     da[col].plot(kind = "kde")

~/anaconda3/lib/python3.8/site-packages/pandas/plotting/_core.py in __call__(self, *args, **kwargs)
    947                     data.columns = label_name
    948 
--> 949         return plot_backend.plot(data, kind=kind, **kwargs)
    950 
    951     __call__.__doc__ = __doc__

~/anaconda3/lib/python3.8/site-packages/pandas/plotting/_matplotlib/__init__.py in plot(data, kind, **kwargs)
     59             kwargs["ax"] = getattr(ax, "left_ax", ax)
     60     plot_obj = PLOT_CLASSES[kind](data, **kwargs)
---> 61     plot_obj.generate()
     62     plot_obj.draw()
     63     return plot_obj.result

~/anaconda3/lib/python3.8/site-packages/pandas/plotting/_matplotlib/core.py in generate(self)
    269         self._compute_plot_data()
    270         self._setup_subplots()
--> 271         self._make_plot()
    272         self._add_table()
    273         self._make_legend()

~/anaconda3/lib/python3.8/site-packages/pandas/plotting/_matplotlib/hist.py in _make_plot(self)
     81                 kwds["weights"] = weights[:, i]
     82 
---> 83             artists = self._plot(ax, y, column_num=i, stacking_id=stacking_id, **kwds)
     84             self._add_legend_handle(artists[0], label, index=i)
     85 

~/anaconda3/lib/python3.8/site-packages/pandas/plotting/_matplotlib/hist.py in _plot(cls, ax, y, style, bins, bottom, column_num, stacking_id, **kwds)
     52         bottom = bottom + cls._get_stacked_values(ax, stacking_id, base, kwds["label"])
     53         # ignore style
---> 54         n, bins, patches = ax.hist(y, bins=bins, bottom=bottom, **kwds)
     55         cls._update_stacker(ax, stacking_id, n)
     56         return patches

~/anaconda3/lib/python3.8/site-packages/matplotlib/__init__.py in inner(ax, data, *args, **kwargs)
   1436     def inner(ax, *args, data=None, **kwargs):
   1437         if data is None:
-> 1438             return func(ax, *map(sanitize_sequence, args), **kwargs)
   1439 
   1440         bound = new_sig.bind(ax, *args, **kwargs)

~/anaconda3/lib/python3.8/site-packages/matplotlib/axes/_axes.py in hist(self, x, bins, range, density, weights, cumulative, bottom, histtype, align, orientation, rwidth, log, color, label, stacked, **kwargs)
   6818             if patch:
   6819                 p = patch[0]
-> 6820                 p.update(kwargs)
   6821                 if lbl is not None:
   6822                     p.set_label(lbl)

~/anaconda3/lib/python3.8/site-packages/matplotlib/artist.py in update(self, props)
    994                     func = getattr(self, f"set_{k}", None)
    995                     if not callable(func):
--> 996                         raise AttributeError(f"{type(self).__name__!r} object "
    997                                              f"has no property {k!r}")
    998                     ret.append(func(v))

AttributeError: 'Rectangle' object has no property 'normed'
In [31]:
---------------------------------------------------------------------------
KeyError                                  Traceback (most recent call last)
<ipython-input-31-4d3a6392dc18> in <module>
      1 for col in da:
----> 2     da.boxplot(column= da[col])

~/anaconda3/lib/python3.8/site-packages/pandas/plotting/_core.py in boxplot_frame(self, column, by, ax, fontsize, rot, grid, figsize, layout, return_type, backend, **kwargs)
    492 ):
    493     plot_backend = _get_plot_backend(backend)
--> 494     return plot_backend.boxplot_frame(
    495         self,
    496         column=column,

~/anaconda3/lib/python3.8/site-packages/pandas/plotting/_matplotlib/boxplot.py in boxplot_frame(self, column, by, ax, fontsize, rot, grid, figsize, layout, return_type, **kwds)
    378     import matplotlib.pyplot as plt
    379 
--> 380     ax = boxplot(
    381         self,
    382         column=column,

~/anaconda3/lib/python3.8/site-packages/pandas/plotting/_matplotlib/boxplot.py in boxplot(data, column, by, ax, fontsize, rot, grid, figsize, layout, return_type, **kwds)
    355             columns = data.columns
    356         else:
--> 357             data = data[columns]
    358 
    359         result = plot_group(columns, data.values.T, ax)

~/anaconda3/lib/python3.8/site-packages/pandas/core/frame.py in __getitem__(self, key)
   2906             if is_iterator(key):
   2907                 key = list(key)
-> 2908             indexer = self.loc._get_listlike_indexer(key, axis=1, raise_missing=True)[1]
   2909 
   2910         # take() does not accept boolean indexers

~/anaconda3/lib/python3.8/site-packages/pandas/core/indexing.py in _get_listlike_indexer(self, key, axis, raise_missing)
   1252             keyarr, indexer, new_indexer = ax._reindex_non_unique(keyarr)
   1253 
-> 1254         self._validate_read_indexer(keyarr, indexer, axis, raise_missing=raise_missing)
   1255         return keyarr, indexer
   1256 

~/anaconda3/lib/python3.8/site-packages/pandas/core/indexing.py in _validate_read_indexer(self, key, indexer, axis, raise_missing)
   1296             if missing == len(indexer):
   1297                 axis_name = self.obj._get_axis_name(axis)
-> 1298                 raise KeyError(f"None of [{key}] are in the [{axis_name}]")
   1299 
   1300             # We (temporarily) allow for some missing keys with .loc, except in

KeyError: "None of [Index([(0.2, 0.024390244, 0.14285714300000002, 0.1, 0.051282050999999995, 0.038461537999999997, 0.4, 0.137931034, 0.12195122, 0.155172414, 0.6, 0.5, 0.017241378999999998, 0.041322314, 0.14285714300000002, 0.007246376999999999, 0.01, 0.025641026, 0.172413793, 0.010309278, 0.25, 0.023255814, 0.041666667000000004, 0.111111111, 0.25, 0.052631579000000005, 1.0, 0.14285714300000002, 0.017391304, 1.0, 0.045454545, 0.070175439, 0.066666667, 0.222222222, 0.052631579000000005, 0.043478261, 0.15789473699999998, 0.571428571, 0.052631579000000005, 0.009803922, 0.21052631600000002, 0.481481481, 0.10344827599999999, 0.058823529000000006, 0.022727273, 0.025974026, 0.043478261, 0.071428571, 0.020833333, 0.025974026, 0.011764706000000002, 0.034482759, 0.14285714300000002, 0.111111111, 0.2, 0.083333333, 0.014492753999999998, 0.181818182, 0.10526315800000001, 0.125, 0.4, 0.1, 0.14285714300000002, 0.010204082, 0.5, 0.04, 0.010416667, 0.012987013, 0.027027027000000002, 0.0, 0.07826087, 0.75, 0.025, 0.060606060999999996, 0.054054054000000004, 0.026666667, 1.0, 0.015151515, 0.028571429, 0.333333333, 0.166666667, 0.008695652, 0.012084592, 0.056603774, 0.033333333, 0.08, 0.75, 0.014084507, 0.090909091, 0.26666666699999997, 0.18, 0.090909091, 0.05, 0.04, 0.025641026, 0.034482759, 0.0, 0.028571429, 0.46666666700000003, 0.454545455, ...)], dtype='object')] are in the [columns]"
In [6]:
Out[6]:
Record_ID Auction_ID Bidder_Tendency Bidding_Ratio Successive_Outbidding Last_Bidding Auction_Bids Starting_Price_Average Early_Bidding Winning_Ratio Auction_Duration Class
count 6321.000000 6321.000000 6321.000000 6321.000000 6321.000000 6321.000000 6321.000000 6321.000000 6321.000000 6321.000000 6321.000000 6321.000000
mean 7535.829457 1241.388230 0.142541 0.127670 0.103781 0.463119 0.231606 0.472821 0.430683 0.367731 4.615093 0.106787
std 4364.759137 735.770789 0.197084 0.131530 0.279698 0.380097 0.255252 0.489912 0.380785 0.436573 2.466629 0.308867
min 1.000000 5.000000 0.000000 0.011765 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 1.000000 0.000000
25% 3778.000000 589.000000 0.027027 0.043478 0.000000 0.047928 0.000000 0.000000 0.026620 0.000000 3.000000 0.000000
50% 7591.000000 1246.000000 0.062500 0.083333 0.000000 0.440937 0.142857 0.000000 0.360104 0.000000 5.000000 0.000000
75% 11277.000000 1867.000000 0.166667 0.166667 0.000000 0.860363 0.454545 0.993593 0.826761 0.851852 7.000000 0.000000
max 15144.000000 2538.000000 1.000000 1.000000 1.000000 0.999900 0.788235 0.999935 0.999900 1.000000 10.000000 1.000000
In [3]:
Out[3]:
<AxesSubplot:>
In [12]:
Out[12]:
Record_ID                 0.0
Auction_ID                0.0
Bidder_ID                 0.0
Bidder_Tendency           0.0
Bidding_Ratio             0.0
Successive_Outbidding     0.0
Last_Bidding              0.0
Auction_Bids              0.0
Starting_Price_Average    0.0
Early_Bidding             0.0
Winning_Ratio             0.0
Auction_Duration          0.0
Class                     0.0
dtype: float64
In [13]:
Out[13]:
Record_ID                 True
Auction_ID                True
Bidder_ID                 True
Bidder_Tendency           True
Bidding_Ratio             True
Successive_Outbidding     True
Last_Bidding              True
Auction_Bids              True
Starting_Price_Average    True
Early_Bidding             True
Winning_Ratio             True
Auction_Duration          True
Class                     True
dtype: bool
In [14]:
Out[14]:
Record_ID Auction_ID Bidder_ID Bidder_Tendency Bidding_Ratio Successive_Outbidding Last_Bidding Auction_Bids Starting_Price_Average Early_Bidding Winning_Ratio Auction_Duration Class
0 1 732 _***i 0.200000 0.400000 0.0 0.000028 0.000000 0.993593 0.000028 0.666667 5 0
1 2 732 g***r 0.024390 0.200000 0.0 0.013123 0.000000 0.993593 0.013123 0.944444 5 0
2 3 732 t***p 0.142857 0.200000 0.0 0.003042 0.000000 0.993593 0.003042 1.000000 5 0
3 4 732 7***n 0.100000 0.200000 0.0 0.097477 0.000000 0.993593 0.097477 1.000000 5 0
4 5 900 z***z 0.051282 0.222222 0.0 0.001318 0.000000 0.000000 0.001242 0.500000 7 0
... ... ... ... ... ... ... ... ... ... ... ... ... ...
6316 15129 760 l***t 0.333333 0.160000 1.0 0.738557 0.280000 0.993593 0.686358 0.888889 3 1
6317 15137 2481 s***s 0.030612 0.130435 0.0 0.005754 0.217391 0.993593 0.000010 0.878788 7 0
6318 15138 2481 h***t 0.055556 0.043478 0.0 0.015663 0.217391 0.993593 0.015663 0.000000 7 0
6319 15139 2481 d***d 0.076923 0.086957 0.0 0.068694 0.217391 0.993593 0.000415 0.000000 7 0
6320 15144 2481 a***l 0.016393 0.043478 0.0 0.340351 0.217391 0.993593 0.340351 0.000000 7 0

6321 rows × 13 columns

In [15]:
In [12]:
Out[12]:
0    0.893213
1    0.106787
Name: Class, dtype: float64
In [13]:
/home/rachida/anaconda3/lib/python3.8/site-packages/seaborn/distributions.py:2551: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).
  warnings.warn(msg, FutureWarning)
/home/rachida/anaconda3/lib/python3.8/site-packages/seaborn/distributions.py:2551: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).
  warnings.warn(msg, FutureWarning)
/home/rachida/anaconda3/lib/python3.8/site-packages/seaborn/distributions.py:2551: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).
  warnings.warn(msg, FutureWarning)
/home/rachida/anaconda3/lib/python3.8/site-packages/seaborn/distributions.py:2551: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).
  warnings.warn(msg, FutureWarning)
/home/rachida/anaconda3/lib/python3.8/site-packages/seaborn/distributions.py:2551: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).
  warnings.warn(msg, FutureWarning)
/home/rachida/anaconda3/lib/python3.8/site-packages/seaborn/distributions.py:2551: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).
  warnings.warn(msg, FutureWarning)
/home/rachida/anaconda3/lib/python3.8/site-packages/seaborn/distributions.py:2551: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).
  warnings.warn(msg, FutureWarning)
/home/rachida/anaconda3/lib/python3.8/site-packages/seaborn/distributions.py:2551: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).
  warnings.warn(msg, FutureWarning)
/home/rachida/anaconda3/lib/python3.8/site-packages/seaborn/distributions.py:2551: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).
  warnings.warn(msg, FutureWarning)
/home/rachida/anaconda3/lib/python3.8/site-packages/seaborn/distributions.py:2551: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).
  warnings.warn(msg, FutureWarning)
/home/rachida/anaconda3/lib/python3.8/site-packages/seaborn/distributions.py:2551: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).
  warnings.warn(msg, FutureWarning)
/home/rachida/anaconda3/lib/python3.8/site-packages/seaborn/distributions.py:2551: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).
  warnings.warn(msg, FutureWarning)
In [18]:
Out[18]:
array([0, 1])
In [19]:
Bidder_Tendency-----------------------------------[0.2        0.02439024 0.14285714 0.1        0.05128205 0.03846154
 0.4        0.13793103 0.12195122 0.15517241 0.6        0.5
 0.01724138 0.04132231 0.00724638 0.01       0.02564103 0.17241379
 0.01030928 0.25       0.02325581 0.04166667 0.11111111 0.05263158
 1.         0.0173913  0.04545454 0.07017544 0.06666667 0.22222222
 0.04347826 0.15789474 0.57142857 0.00980392 0.21052632 0.48148148
 0.10344828 0.05882353 0.02272727 0.02597403 0.07142857 0.02083333
 0.01176471 0.03448276 0.08333333 0.01449275 0.18181818 0.10526316
 0.125      0.01020408 0.04       0.01041667 0.01298701 0.02702703
 0.         0.07826087 0.75       0.025      0.06060606 0.05405405
 0.02666667 0.01515152 0.02857143 0.33333333 0.16666667 0.00869565
 0.01208459 0.05660377 0.03333333 0.08       0.01408451 0.09090909
 0.26666667 0.18       0.05       0.46666667 0.45454545 0.03030303
 0.8        0.02608696 0.08571429 0.42424242 0.03703704 0.03076923
 0.00302115 0.00925926 0.06722689 0.00819672 0.05555556 0.07692308
 0.01492537 0.07317073 0.15151515 0.17647059 0.23529412 0.02222222
 0.03623188 0.06976744 0.03571429 0.13043478 0.02352941 0.00826446
 0.13513513 0.12987013 0.02416918 0.1875     0.0060423  0.875
 0.01886793 0.11538461 0.35714286 0.03       0.05172414 0.02247191
 0.03125    0.10714286 0.07407407 0.02941176 0.0625     0.01694915
 0.04761905 0.02479339 0.58333333 0.1125     0.01086956 0.01162791
 0.04938272 0.27272727 0.28571429 0.03508772 0.0106383  0.15625
 0.04705882 0.01612903 0.44444444 0.05714286 0.03225807 0.11764706
 0.12698413 0.02173913 0.01333333 0.09302326 0.51851852 0.04081633
 0.20512821 0.31578947 0.01639344 0.02061856 0.71428571 0.01754386
 0.69230769 0.03278689 0.04651163 0.23076923 0.42857143 0.01234568
 0.09523809 0.66666667 0.35294118 0.32307692 0.10606061 0.21428571
 0.60465116 0.24       0.01123596 0.15384615 0.02816901 0.03361344
 0.01666667 0.03773585 0.07792208 0.01652893 0.02985075 0.38461538
 0.11627907 0.0125     0.14634146 0.3125     0.01680672 0.01538462
 0.25862069 0.47368421 0.02469136 0.14705882 0.04901961 0.17346939
 0.04444444 0.30434783 0.00840336 0.55555556 0.08695652 0.13461539
 0.02521008 0.13333333 0.20833333 0.12790698 0.01851852 0.16
 0.04918033 0.12903226 0.02040816 0.23333333 0.00680272 0.54545455
 0.13580247 0.83333333 0.05617978 0.05797101 0.03174603 0.95
 0.08823529 0.19402985 0.09259259 0.2173913  0.24137931 0.03305785
 0.16494845 0.01360544 0.34090909 0.0212766  0.18918919 0.22727273
 0.17391304 0.00906344 0.12121212 0.26315789 0.075      0.09859155
 0.08108108 0.09375    0.24675325 0.3        0.01960784 0.02
 0.625      0.12       0.04878049 0.29411765 0.10769231 0.08641975
 0.04615385 0.14035088 0.05194805 0.06557377 0.18518519 0.46428571
 0.34782609 0.06       0.08163265 0.46153846 0.54166667 0.03896104
 0.28205128 0.01923077 0.01812689 0.77777778 0.05970149 0.02721088
 0.06896552 0.61538461 0.30769231 0.02777778 0.19354839 0.11
 0.11340206 0.24242424 0.375      0.02631579 0.41666667 0.52
 0.06086957 0.35       0.05633803 0.10810811 0.17857143 0.72727273
 0.19047619 0.39534884 0.03191489 0.03370786 0.20588235 0.73333333
 0.34285714 0.20689655 0.06122449 0.09756098 0.08510638 0.36363636
 0.13636364 0.06818182 0.33802817 0.07446809 0.0862069  0.12068966
 0.7        0.08474576 0.40909091 0.0462963  0.04123711 0.91666667
 0.16129032 0.01510574 0.01587302 0.11702128 0.15       0.02459016
 0.03488372 0.23255814 0.06493507 0.22580645 0.90909091 0.92857143
 0.05333333 0.21212121 0.06956522 0.11428571 0.07894737 0.14814815
 0.09016393 0.16216216 0.2972973  0.07971014 0.05434783 0.06382979
 0.67567568 0.04098361 0.9        0.36       0.15217391 0.45070423
 0.16883117 0.47058824 0.27777778 0.05740181 0.02114804 0.04225352
 0.07563025 0.09230769 0.12359551 0.11666667 0.48484848 0.1025641
 0.84210526 0.45       0.31818182 0.35483871 0.72413793 0.91304348
 0.07438016 0.03478261 0.04477612 0.0375     0.82758621 0.0338983
 0.10084034 0.80952381 0.06862745 0.88888889 0.38095238 0.18867924
 0.30555556 0.15909091 0.03401361 0.17142857 0.05102041 0.27027027
 0.53846154 0.38636364 0.05319149 0.11320755 0.07377049 0.275
 0.39285714 0.8125     0.85714286 0.11363636 0.05084746 0.04255319
 0.15957447 0.17213115 0.28       0.26086957 0.09836066 0.34883721
 0.76923077 0.13888889 0.0754717  0.4375     0.09333333 0.25714286
 0.13432836 0.52173913 0.63636364 0.05154639 0.10204082 0.53333333
 0.06521739 0.05737705 0.06451613 0.10638298 0.15555556 0.19230769
 0.58823529 0.03092784 0.06779661 0.15730337 0.08450704 0.48275862
 0.10416667 0.39583333 0.04958678 0.23809524 0.03021148 0.10869565
 0.10784314 0.19565217 0.06349206 0.0483871  0.06481481 0.68421053
 0.22857143 0.26923077 0.06185567 0.21768708 0.08888889 0.38
 0.94444444 0.09677419 0.08955224 0.12820513 0.31428571 0.04494382
 0.0877193  0.03061224 0.06172839 0.58974359 0.43103448 0.41025641
 0.52941176 0.20454545 0.95454545 0.25925926 0.12962963 0.84615385
 0.1011236  0.1509434  0.38709677 0.57407407 0.30645161 0.05217391
 0.65217391 0.3559322  0.28813559 0.0326087  0.11570248 0.21621622
 0.03323263 0.07843137 0.57894737 0.31111111 0.43478261 0.10447761
 0.70588235 0.225      0.64705882 0.15584416 0.86842105 0.47619048
 0.24528302 0.47826087 0.21875    0.89655172 0.55       0.425
 0.32       0.02719033 0.12173913 0.32142857 0.03529412 0.07462687
 0.04201681 0.10144928 0.55172414 0.42352941 0.52631579 0.10666667
 0.23913044 0.28169014 0.59259259]
Bidding_Ratio-------------------------------------[0.4        0.2        0.22222222 0.11111111 0.44444444 0.18518519
 0.34615385 0.5625     0.10526316 0.05263158 0.20833333 0.04166667
 0.03703704 0.05555556 0.14285714 0.71428571 0.15789474 0.6
 0.08333333 0.09090909 0.03030303 0.16666667 0.375      0.66666667
 0.125      0.02380952 0.23529412 0.26       0.13636364 0.04545454
 0.11764706 0.05882353 0.025      0.01724138 0.03448276 0.1
 0.3        0.05       0.07692308 0.03846154 0.15151515 0.21951219
 0.07317073 0.04347826 0.03333333 0.03225807 0.12903226 0.09677419
 0.08695652 0.06521739 0.06666667 0.29032258 0.02941176 0.09375
 0.03125    0.04       0.28       0.04878049 0.09756098 0.05454545
 0.23076923 0.30769231 0.11538461 0.21428571 0.03571429 0.3125
 0.1875     0.25       0.0625     0.26315789 0.33333333 0.27272727
 0.02173913 0.13043478 0.18181818 0.16129032 0.2173913  0.17391304
 0.35714286 0.22580645 0.07142857 0.15384615 0.06451613 0.06
 0.625      0.02857143 0.05714286 0.17647059 0.35294118 0.15217391
 0.41666667 0.08823529 0.02631579 0.13157895 0.07894737 0.02083333
 0.28571429 0.77777778 0.8        0.42857143 0.0212766  0.29787234
 0.04255319 0.08163265 0.02040816 0.02439024 0.20689655 0.10344828
 0.26666667 0.26829268 0.01818182 0.525      0.21212121 0.24242424
 0.02       0.52       0.07407407 0.46153846 0.57142857 0.83333333
 0.02777778 0.13333333 0.01851852 0.5        0.04761905 0.10638298
 0.02325581 0.06382979 0.25862069 0.01754386 0.14705882 0.02222222
 0.19230769 0.08888889 0.15       0.58333333 0.38461538 0.14634146
 0.41176471 0.34375    0.05084746 0.06779661 0.01694915 0.52631579
 0.44       0.06578947 0.05172414 0.39393939 1.         0.7
 0.42105263 0.76190476 0.55555556 0.09523809 0.19047619 0.38095238
 0.23333333 0.19148936 0.32758621 0.12       0.07017544 0.01315789
 0.06060606 0.36363636 0.08       0.22857143 0.03636364 0.20588235
 0.0483871  0.14814815 0.13888889 0.36111111 0.2962963  0.75
 0.075      0.325      0.05128205 0.02564103 0.01612903 0.08064516
 0.11290323 0.19354839 0.06896552 0.11428571 0.17142857 0.34782609
 0.0877193  0.39285714 0.10714286 0.27777778 0.52380952 0.01960784
 0.1372549  0.03921569 0.04081633 0.16949153 0.41935484 0.24137931
 0.54545455 0.175      0.03174603 0.21052632 0.20408163 0.81818182
 0.06976744 0.03947368 0.53333333 0.80952381 0.78571429 0.48
 0.26086957 0.13793103 0.72727273 0.36842105 0.17021277 0.01587302
 0.08510638 0.18918919 0.13513513 0.1627907  0.10204082 0.03508772
 0.64705882 0.24444444 0.20512821 0.22727273 0.52941176 0.275
 0.16326531 0.53488372 0.06122449 0.17857143 0.45454545 0.08571429
 0.05405405 0.27027027 0.08108108 0.02702703 0.56521739 0.16
 0.48275862 0.06349206 0.32352941 0.40740741 0.58823529 0.85714286
 0.58181818 0.14545454 0.48148148 0.34042553 0.09302326 0.54166667
 0.01785714 0.33928571 0.17460317 0.46666667 0.74074074 0.04444444
 0.47058824 0.29411765 0.61538461 0.34177215 0.53846154 0.24
 0.31428571 0.63636364 0.45652174 0.38888889 0.31578947 0.40677966
 0.58695652 0.62962963 0.4375     0.32       0.06329114 0.02531646
 0.01265823 0.03797468 0.07594937 0.17721519 0.07936508 0.51851852
 0.04651163 0.01886793 0.15555556 0.26984127 0.01176471 0.47368421
 0.17741936 0.44827586 0.05063291 0.12698413 0.17777778 0.32258064
 0.07058823 0.31034483 0.04705882 0.02352941 0.26190476 0.23809524
 0.875      0.14035088 0.03773585 0.64285714 0.11320755 0.13207547
 0.17241379 0.03529412 0.21875    0.08235294 0.4137931  0.30434783
 0.18604651 0.3030303  0.12121212 0.05660377 0.41304348 0.25641026
 0.10588235 0.01639344 0.13114754 0.04918033 0.08196721 0.20754717
 0.10909091 0.23636364 0.11627907 0.12820513 0.27906977 0.29166667
 0.15625    0.02272727 0.52459016 0.03278689 0.10869565 0.07272727
 0.22352941 0.68       0.25925926 0.11904762 0.15909091 0.73913043
 0.47619048 0.09433962 0.0754717  0.27058824 0.34285714 0.96153846
 0.25714286 0.32653061 0.2368421  0.10416667 0.56       0.14583333
 0.35483871 0.33962264 0.14117647 0.24705882 0.07843137 0.05357143
 0.01538462 0.12307692 0.17948718 0.32432432 0.16216216 0.16981132
 0.28301887 0.7948718  0.40425532 0.12765957 0.40384615 0.01923077
 0.04615385 0.30357143 0.1025641  0.43478261 0.09615385 0.05769231
 0.25490196 0.06153846 0.03076923 0.61111111 0.88636364 0.825
 0.45833333 0.12244898 0.34693878 0.25806452 0.13846154 0.31111111
 0.26923077 0.38709677 0.10769231 0.4516129  0.22       0.37209302
 0.58064516 0.45238095 0.20930233 0.14      ]
Successive_Outbidding-----------------------------[0.  1.  0.5]
Last_Bidding--------------------------------------[2.77778000e-05 1.31226852e-02 3.04166670e-03 ... 1.56630291e-02
 6.86937831e-02 3.40350529e-01]
Auction_Bids--------------------------------------[0.         0.33333333 0.30769231 0.05263158 0.25       0.45454545
 0.57142857 0.64       0.18181818 0.55       0.68965517 0.56097561
 0.60869565 0.4        0.41935484 0.47058824 0.4375     0.28
 0.67272727 0.14285714 0.35714286 0.48571429 0.1        0.52631579
 0.625      0.5        0.61702128 0.63265306 0.37931034 0.66666667
 0.58139535 0.68421053 0.6        0.69491525 0.76315789 0.67857143
 0.70967742 0.2173913  0.53846154 0.64705882 0.71428571 0.51351351
 0.7721519  0.66037736 0.78823529 0.70491803 0.59090909 0.72307692
 0.65384615]
Starting_Price_Average----------------------------[0.99359281 0.         0.9935281  0.99935281 0.99993528 0.96123329
 0.93534567 0.67646948 0.93528095 0.67640476 0.99514607 0.54696667
 0.96764048 0.98712091 0.55305026 0.99889978 0.93560455 0.51460715
 0.82525857 0.96770519 0.92958568 0.80584286]
Early_Bidding-------------------------------------[2.77778000e-05 1.31226852e-02 3.04166670e-03 ... 6.86358025e-01
 1.56630291e-02 3.40350529e-01]
Winning_Ratio-------------------------------------[0.66666667 0.94444444 1.         0.5        0.8        0.75
 0.61111111 0.6        0.         0.81818182 0.93333333 0.84210526
 0.79310345 0.72727273 0.83333333 0.9        0.77777778 0.7
 0.86567164 0.90909091 0.87755102 0.73684211 0.85714286 0.84821429
 0.82352941 0.86666667 0.76190476 0.7826087  0.75757576 0.76923077
 0.88888889 0.93548387 0.92307692 0.91666667 0.875      0.88235294
 0.95454545 0.88571429 0.82142857 0.94736842 0.92857143 0.80952381
 0.89189189 0.92682927 0.84615385 0.92592593 0.33333333 0.85185185
 0.625      0.63636364 0.9375     0.71428571 0.76       0.84375
 0.86363636 0.77419355 0.80645161 0.87878788 0.8125     0.64285714
 0.88       0.90322581 0.55555556 0.95       0.88461539 0.61538461
 0.94117647 0.97674419 0.57142857 0.78947368 0.91304348 0.4       ]
Auction_Duration----------------------------------[ 5  7  1  3 10]
Class---------------------------------------------[0 1]
In [20]:
In [15]:
Out[15]:
Record_ID Auction_ID Bidder_Tendency Bidding_Ratio Successive_Outbidding Last_Bidding Auction_Bids Starting_Price_Average Early_Bidding Winning_Ratio Auction_Duration Class
0 1 732 0.200000 0.400000 0.0 0.000028 0.000000 0.993593 0.000028 0.666667 5 0
1 2 732 0.024390 0.200000 0.0 0.013123 0.000000 0.993593 0.013123 0.944444 5 0
2 3 732 0.142857 0.200000 0.0 0.003042 0.000000 0.993593 0.003042 1.000000 5 0
3 4 732 0.100000 0.200000 0.0 0.097477 0.000000 0.993593 0.097477 1.000000 5 0
4 5 900 0.051282 0.222222 0.0 0.001318 0.000000 0.000000 0.001242 0.500000 7 0
... ... ... ... ... ... ... ... ... ... ... ... ...
6315 15128 760 0.022222 0.040000 0.0 0.629606 0.280000 0.993593 0.629606 0.000000 3 0
6317 15137 2481 0.030612 0.130435 0.0 0.005754 0.217391 0.993593 0.000010 0.878788 7 0
6318 15138 2481 0.055556 0.043478 0.0 0.015663 0.217391 0.993593 0.015663 0.000000 7 0
6319 15139 2481 0.076923 0.086957 0.0 0.068694 0.217391 0.993593 0.000415 0.000000 7 0
6320 15144 2481 0.016393 0.043478 0.0 0.340351 0.217391 0.993593 0.340351 0.000000 7 0

5646 rows × 12 columns

In [16]:
Out[16]:
Record_ID Auction_ID Bidder_Tendency Bidding_Ratio Successive_Outbidding Last_Bidding Auction_Bids Starting_Price_Average Early_Bidding Winning_Ratio Auction_Duration Class
7 12 900 0.137931 0.444444 1.0 0.768044 0.000000 0.000000 0.016311 1.000000 7 1
8 13 2370 0.121951 0.185185 1.0 0.035021 0.333333 0.993528 0.023963 0.944444 7 1
9 27 600 0.155172 0.346154 0.5 0.570994 0.307692 0.993593 0.413788 0.611111 7 1
10 37 2172 0.600000 0.562500 1.0 0.457631 0.000000 0.000000 0.457474 0.600000 7 1
13 40 2236 0.041322 0.208333 1.0 0.286045 0.250000 0.000000 0.286025 0.818182 7 1
... ... ... ... ... ... ... ... ... ... ... ... ...
6284 15047 1395 0.239130 0.343750 1.0 0.646898 0.437500 0.993593 0.600521 0.941176 1 1
6285 15052 2378 0.281690 0.740741 1.0 0.651391 0.333333 0.993593 0.651339 1.000000 7 1
6289 15060 1277 0.592593 0.615385 1.0 0.909158 0.307692 0.000000 0.003395 0.857143 7 1
6295 15070 342 0.200000 0.111111 0.5 0.011968 0.333333 0.000000 0.001817 0.833333 7 1
6316 15129 760 0.333333 0.160000 1.0 0.738557 0.280000 0.993593 0.686358 0.888889 3 1

675 rows × 12 columns

In [17]:
/home/rachida/anaconda3/lib/python3.8/site-packages/seaborn/distributions.py:2551: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).
  warnings.warn(msg, FutureWarning)
/home/rachida/anaconda3/lib/python3.8/site-packages/seaborn/distributions.py:2551: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).
  warnings.warn(msg, FutureWarning)
/home/rachida/anaconda3/lib/python3.8/site-packages/seaborn/distributions.py:2551: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).
  warnings.warn(msg, FutureWarning)
/home/rachida/anaconda3/lib/python3.8/site-packages/seaborn/distributions.py:2551: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).
  warnings.warn(msg, FutureWarning)
/home/rachida/anaconda3/lib/python3.8/site-packages/seaborn/distributions.py:2551: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).
  warnings.warn(msg, FutureWarning)
/home/rachida/anaconda3/lib/python3.8/site-packages/seaborn/distributions.py:2551: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).
  warnings.warn(msg, FutureWarning)
/home/rachida/anaconda3/lib/python3.8/site-packages/seaborn/distributions.py:2551: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).
  warnings.warn(msg, FutureWarning)
/home/rachida/anaconda3/lib/python3.8/site-packages/seaborn/distributions.py:2551: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).
  warnings.warn(msg, FutureWarning)
/home/rachida/anaconda3/lib/python3.8/site-packages/seaborn/distributions.py:2551: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).
  warnings.warn(msg, FutureWarning)
/home/rachida/anaconda3/lib/python3.8/site-packages/seaborn/distributions.py:2551: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).
  warnings.warn(msg, FutureWarning)
/home/rachida/anaconda3/lib/python3.8/site-packages/seaborn/distributions.py:2551: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).
  warnings.warn(msg, FutureWarning)
/home/rachida/anaconda3/lib/python3.8/site-packages/seaborn/distributions.py:2551: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).
  warnings.warn(msg, FutureWarning)
/home/rachida/anaconda3/lib/python3.8/site-packages/seaborn/distributions.py:2551: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).
  warnings.warn(msg, FutureWarning)
/home/rachida/anaconda3/lib/python3.8/site-packages/seaborn/distributions.py:2551: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).
  warnings.warn(msg, FutureWarning)
/home/rachida/anaconda3/lib/python3.8/site-packages/seaborn/distributions.py:2551: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).
  warnings.warn(msg, FutureWarning)
/home/rachida/anaconda3/lib/python3.8/site-packages/seaborn/distributions.py:2551: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).
  warnings.warn(msg, FutureWarning)
/home/rachida/anaconda3/lib/python3.8/site-packages/seaborn/distributions.py:2551: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).
  warnings.warn(msg, FutureWarning)
/home/rachida/anaconda3/lib/python3.8/site-packages/seaborn/distributions.py:2551: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).
  warnings.warn(msg, FutureWarning)
/home/rachida/anaconda3/lib/python3.8/site-packages/seaborn/distributions.py:2551: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).
  warnings.warn(msg, FutureWarning)
/home/rachida/anaconda3/lib/python3.8/site-packages/seaborn/distributions.py:2551: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).
  warnings.warn(msg, FutureWarning)
/home/rachida/anaconda3/lib/python3.8/site-packages/seaborn/distributions.py:2551: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).
  warnings.warn(msg, FutureWarning)
/home/rachida/anaconda3/lib/python3.8/site-packages/seaborn/distributions.py:2551: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).
  warnings.warn(msg, FutureWarning)
/home/rachida/anaconda3/lib/python3.8/site-packages/seaborn/distributions.py:2551: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).
  warnings.warn(msg, FutureWarning)

/home/rachida/anaconda3/lib/python3.8/site-packages/seaborn/distributions.py:305: UserWarning: Dataset has 0 variance; skipping density estimate.
  warnings.warn(msg, UserWarning)
/home/rachida/anaconda3/lib/python3.8/site-packages/seaborn/distributions.py:2551: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).
  warnings.warn(msg, FutureWarning)
/home/rachida/anaconda3/lib/python3.8/site-packages/seaborn/distributions.py:305: UserWarning: Dataset has 0 variance; skipping density estimate.
  warnings.warn(msg, UserWarning)
In [ ]:
In [ ]:
In [4]:
Out[4]:
<seaborn.axisgrid.PairGrid at 0x7fb95c51e400>
In [36]:
Out[36]:
Bidding_Ratio Successive_Outbidding Last_Bidding Auction_Bids Starting_Price_Average Early_Bidding Winning_Ratio Class
Bidding_Ratio 1.000000 0.604828 -0.066541 -0.347831 -0.252289 -0.147773 0.642905 0.569435
Successive_Outbidding 0.604828 1.000000 0.098941 0.065361 0.052263 0.056798 0.382002 0.901035
Last_Bidding -0.066541 0.098941 1.000000 0.297639 0.293323 0.950096 -0.076726 0.097655
Auction_Bids -0.347831 0.065361 0.297639 1.000000 0.629086 0.298878 -0.381442 0.044964
Starting_Price_Average -0.252289 0.052263 0.293323 0.629086 1.000000 0.302958 -0.262655 0.042604
Early_Bidding -0.147773 0.056798 0.950096 0.298878 0.302958 1.000000 -0.137005 0.053570
Winning_Ratio 0.642905 0.382002 -0.076726 -0.381442 -0.262655 -0.137005 1.000000 0.394122
Class 0.569435 0.901035 0.097655 0.044964 0.042604 0.053570 0.394122 1.000000
In [21]:
Out[21]:
Record_ID Auction_ID Bidder_Tendency Bidding_Ratio Successive_Outbidding Last_Bidding Auction_Bids Starting_Price_Average Early_Bidding Winning_Ratio Auction_Duration Class
Record_ID 1.000000 -0.003776 0.011075 -0.040123 0.005271 0.037588 0.048377 0.001265 0.031719 -0.057151 -0.012150 -0.003731
Auction_ID -0.003776 1.000000 -0.006902 -0.021424 -0.003175 0.070341 0.097558 0.016182 0.068427 -0.039779 0.024918 -0.007985
Bidder_Tendency 0.011075 -0.006902 1.000000 0.293076 0.313510 0.044999 0.086564 0.073242 0.019978 0.212170 0.000244 0.295533
Bidding_Ratio -0.040123 -0.021424 0.293076 1.000000 0.604828 -0.066541 -0.347831 -0.252289 -0.147773 0.642905 -0.019205 0.569435
Successive_Outbidding 0.005271 -0.003175 0.313510 0.604828 1.000000 0.098941 0.065361 0.052263 0.056798 0.382002 0.010091 0.901035
Last_Bidding 0.037588 0.070341 0.044999 -0.066541 0.098941 1.000000 0.297639 0.293323 0.950096 -0.076726 0.011454 0.097655
Auction_Bids 0.048377 0.097558 0.086564 -0.347831 0.065361 0.297639 1.000000 0.629086 0.298878 -0.381442 0.093331 0.044964
Starting_Price_Average 0.001265 0.016182 0.073242 -0.252289 0.052263 0.293323 0.629086 1.000000 0.302958 -0.262655 0.022990 0.042604
Early_Bidding 0.031719 0.068427 0.019978 -0.147773 0.056798 0.950096 0.298878 0.302958 1.000000 -0.137005 0.011296 0.053570
Winning_Ratio -0.057151 -0.039779 0.212170 0.642905 0.382002 -0.076726 -0.381442 -0.262655 -0.137005 1.000000 -0.023965 0.394122
Auction_Duration -0.012150 0.024918 0.000244 -0.019205 0.010091 0.011454 0.093331 0.022990 0.011296 -0.023965 1.000000 0.021145
Class -0.003731 -0.007985 0.295533 0.569435 0.901035 0.097655 0.044964 0.042604 0.053570 0.394122 0.021145 1.000000
In [ ]:
In [ ]:
In [ ]:
In [ ]:
In [ ]:
In [ ]:
In [ ]:
In [22]:
Out[22]:
Bidder_Tendency           0
Bidding_Ratio             0
Successive_Outbidding     0
Last_Bidding              0
Auction_Bids              0
Starting_Price_Average    0
Early_Bidding             0
Winning_Ratio             0
Auction_Duration          0
Class                     0
dtype: int64
In [28]:
Out[28]:
(6321, 10)
In [29]:
Out[29]:
807.00000018
In [62]:
Out[62]:
807.00000018
In [60]:
Out[60]:
0.12766967254864764
In [61]:
Out[61]:
0.083333333
In [70]:
In [34]:
Out[34]:
0.10378104730264198
In [50]:
Out[50]:
656.0
In [71]:
Out[71]:
array([0. , 1. , 0.5])
In [63]:
Out[63]:
Bidder_Tendency Bidding_Ratio Successive_Outbidding Last_Bidding Auction_Bids Starting_Price_Average Early_Bidding Winning_Ratio Auction_Duration
Class
0 0.122403 0.101775 0.016649 0.450286 0.227638 0.465605 0.423630 0.308242 4.597060
1 0.310979 0.344268 0.832593 0.570463 0.264797 0.533181 0.489674 0.865322 4.765926
In [67]:
Out[67]:
Bidder_Tendency           float64
Bidding_Ratio             float64
Successive_Outbidding     float64
Last_Bidding              float64
Auction_Bids              float64
Starting_Price_Average    float64
Early_Bidding             float64
Winning_Ratio             float64
Auction_Duration            int64
Class                       int64
dtype: object
In [129]:
Out[129]:
198.458038526
In [130]:
Out[130]:
Bidder_Tendency Bidding_Ratio Successive_Outbidding Last_Bidding Auction_Bids Starting_Price_Average Early_Bidding Winning_Ratio Auction_Duration
Class
0 0.103045 0.052705 0.009045 0.494900 0.308370 0.576249 0.483827 0.034685 4.678106
1 0.723214 0.084646 0.625000 0.793332 0.591654 0.995178 0.752455 0.225000 2.500000
In [131]:
Out[131]:
0.0
In [110]:
Out[110]:
Bidder_Tendency Bidding_Ratio Successive_Outbidding Last_Bidding Auction_Bids Starting_Price_Average Early_Bidding Winning_Ratio Auction_Duration
Class
0 0.313677 0.217836 1.0 0.766575 0.548595 0.883528 0.756554 0.286435 7.222222
1 0.330502 0.384018 1.0 0.583790 0.266077 0.524968 0.502975 0.869975 4.552106
In [111]:
Out[111]:
Bidder_Tendency Bidding_Ratio Successive_Outbidding Last_Bidding Auction_Bids Starting_Price_Average Early_Bidding Winning_Ratio Auction_Duration
Class
0 0.122403 0.101775 0.016649 0.450286 0.227638 0.465605 0.423630 0.308242 4.597060
1 0.310979 0.344268 0.832593 0.570463 0.264797 0.533181 0.489674 0.865322 4.765926
In [151]:
  File "<ipython-input-151-cce7c492e51d>", line 1
    da['Winning_Ratio'].sort_values()==0.5:
                                           ^
SyntaxError: invalid syntax
In [141]:
Out[141]:
2288.228905924
In [142]:
Out[142]:
Bidder_Tendency Bidding_Ratio Successive_Outbidding Last_Bidding Auction_Bids Starting_Price_Average Early_Bidding Winning_Ratio Auction_Duration
Class
0 0.122403 0.101775 0.016649 0.450286 0.227638 0.465605 0.423630 0.308242 4.597060
1 0.310979 0.344268 0.832593 0.570463 0.264797 0.533181 0.489674 0.865322 4.765926
In [143]:
Out[143]:
Bidder_Tendency Bidding_Ratio Successive_Outbidding Last_Bidding Auction_Bids Starting_Price_Average Early_Bidding Winning_Ratio Auction_Duration
Class
0 0.143960 0.191086 0.027892 0.376550 0.064999 0.244294 0.322229 0.877330 4.457011
1 0.298529 0.341568 0.834615 0.574663 0.265856 0.533797 0.494101 0.882963 4.781538
In [7]:
---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
<ipython-input-7-29a79790751a> in <module>
----> 1 data.unique()

~/anaconda3/lib/python3.8/site-packages/pandas/core/generic.py in __getattr__(self, name)
   5137             if self._info_axis._can_hold_identifiers_and_holds_name(name):
   5138                 return self[name]
-> 5139             return object.__getattribute__(self, name)
   5140 
   5141     def __setattr__(self, name: str, value) -> None:

AttributeError: 'DataFrame' object has no attribute 'unique'
In [ ]:

Texte d'origine

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